Macro-Economic and Bank-Specific Determinants of Credit Risk in Commercial Banks
Keywords:
Commercial bank, Credit risk, Macroeconomy, Panel dataAbstract
Inadequate credit risk assessment procedures may have a significant negative influence on a financial institution's operational performance, perhaps leading to liquidity concerns. It is hypothesized that different factors such as macroeconomic, and bank-specific factors affect the credit risk in financial institutions. The objective of this study is to check those factors responsible for credit risk. The data came from WDI and Bankscope databases. The data is balanced panel data of 106 private and state-owned commercial banks for 6 years (n=106, t=6). This study used Fixed Effect (FE), and Random Effect (RE) models. The results suggest that if inflation, interest rate, unemployment increase, the credit risk of commercial banks increases. The results also suggest that if GDP growth, efficiency, and bank size increase, the credit risk become minimized. Additionally, the credit risk is lower in private banks than in state-owned banks. The findings of this research, however, do not support the hypotheses that exchange rate and regulatory capitals influence credit risk.
References
Ali, A. and Daly, K. (2010) ‘Macroeconomic determinants of credit risk: Recent evidence from a cross country study’, International Review of Financial Analysis, 19(3), pp. 165–171.
Altman, E. I. and Saunders, A. (1997) ‘Credit risk measurement: Developments over the last 20 years’, Journal of banking & finance, 21(11–12), pp. 1721–1742.
Bluhm, C., Overbeck, L. and Wagner, C. (2016) Introduction to credit risk modeling. Crc Press.
Brown, K. and Moles, P. (2014) ‘Credit risk management’, K. Brown & P. Moles, Credit Risk Management, 16.
Carling, K. et al. (2007) ‘Corporate credit risk modeling and the macroeconomy’, Journal of banking & finance, 31(3), pp. 845–868.
Duffie, D. and Singleton, K. J. (2012) Credit risk: pricing, measurement, and management. Princeton university press.
Garcia, V. (2021) ‘Examining the Impact of Selling on Amazon on the Revenue growth of MSEs in the US’, International Journal of Contemporary Financial Issues, 1(1), pp. 28–38. Available at: https://scholar-publica.space/index.php/fin/article/view/8.
Hackbarth, D., Miao, J. and Morellec, E. (2006) ‘Capital structure, credit risk, and macroeconomic conditions’, Journal of financial economics, 82(3), pp. 519–550.
He, Z. and Xiong, W. (2012) ‘Rollover risk and credit risk’, The Journal of Finance, 67(2), pp. 391–430.
Lando, D. (2009) Credit risk modeling: theory and applications. Princeton University Press.
Lin, H.-Y., Farhani, N. H. and Koo, M. (2016) ‘The Impact of Macroeconomic Factors on Credit Risk in Conventional Banks and Islamic Banks: Evidence from Indonesia’, International Journal of Financial Research, 7(4), pp. 105–116.
Lopez, J. A. and Saidenberg, M. R. (2000) ‘Evaluating credit risk models’, Journal of Banking & Finance, 24(1–2), pp. 151–165.
Mays, E. (1998) Credit risk modeling: design and application. Global Professional Publishi.
De Servigny, A. and Renault, O. (2004) Measuring and managing credit risk. McGraw-Hill.
Tong, A. (2021) ‘The possibility of a decentralized economy in China and the USA’.
Virolainen, K. (2004) ‘Macro stress testing with a macroeconomic credit risk model for Finland’, Bank of Finland Research Discussion Paper, (18).
Wilson, T. C. (1997) ‘Portfolio credit risk’.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 ResearchBerg
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Creative Commons licenses are used to publish Open Access articles, which provide the legal basis for users to access, distribute, and reuse the content. EQME allows authors to apply one of the following Creative Commons licenses to their work, each of which affords readers distinct rights in terms of commercial use and the capacity to create derivative versions:
CC-BY (Creative Commons Attribution License)
CC-BY-NC-ND (Creative Commons Non-Commercial No Derivatives License)
CC-BY-NC-SA (Creative Commons Non-Commercial Share-a-like)
In each situation, the creator must be given credit, and if derivative versions of the work are created, the alterations must be noted.